<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>LLM on PY'Blog</title><link>https://pengyyyyy.github.io/tags/llm/</link><description>Recent content in LLM on PY'Blog</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Thu, 01 Jun 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://pengyyyyy.github.io/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>面向 AI 编程：探索可视化分析模型</title><link>https://mp.weixin.qq.com/s/HrxQtfc8j-zD9kMRGhTn6w</link><pubDate>Thu, 01 Jun 2023 00:00:00 +0000</pubDate><guid>https://pengyyyyy.github.io/posts/ai-visual-analysis/</guid><description>本文总结了在开发 LLM 相关需求时的功能拆解和实现思路，并分享了在利用 ChatGPT 生成结构化数据时遇到的问题及相应解决方案</description></item></channel></rss>